Data Scientist | Financial Crime Prevention @ING Bank

Discover ING Bank Romania

ING believes in a world where everyone has the right to grow and progress in their own way. We express this in our global tagline, “do your thing”. Perhaps more than in any other large company, we extend our belief in the power of autonomy to our own people. But there’s a catch. In return for great freedom, we expect people to do great things for our customers, our stakeholders, and ING at large.

To work here is to be surrounded by people who are energetic, ambitious, friendly and respectful: talented specialists who take the responsibility and autonomy to make great things happen. We stay curious, thrive on change, and seek new and better ways to make it happen. Active in Romania for more than 30 years, ING Bank pioneered and challenged the local banking industry. Technology and innovation are at the core of what we do, making our products relevant for our customers’ lives and businesses.

ING Bank Romania is the only bank with an organic growth within the top 10 local banks by assets, without acquisitions of client portfolios or other banks. ING Bank Romania is an universal bank with more than 1.8 million customers from three business segments: individuals (retail), SME and Mid-Corporate companies and Wholesale Banking.

Join us!

Mission

The Financial Crime and Prevention (FCP) organization is a 1st line department in ING Bank Romania that designs, builds and runs technical and operational solutions with the purpose to ensure safe and secure business operations, protecting our organization via the means of combating money laundering and preventing the financing of terrorism.

The Data Scientist role lies in the KYC CoE team, which falls under the larger FCP organization. The mission is to support the design and adoption of complex algorithms and models onto the tooling that manage the Data actualization, Customer Due Dilligence and Transaction Monitoring workflows.

Your day to day

• Create basic machine learning algorithms and support creation of more complex algorithms that identify patterns in structured data.
• Support the interpretation of advanced and predictive analytics data, using specialized software tools and functionalities.
• Conduct research and select relevant information to enable analysis of key themes and trends using primary data sources and business intelligence tools.
• Monitor the performance of the models, interpret the results and pro-actively propose solutions for optimization.
• Is responsible for model documentation, compliance with the applicable governance and methodologies. Ensures data integrity & management in accordance with the role and applicable AML/CFT related policies.
• Partner with different business stakeholders and internal clients to ensure the collection of data in accordance with model standards.
• Involvement in global projects as per the strategic priorities at bank level.

What you bring to the team

• University degree in Mathematics/ Statistics/ Cybernetics.
• Fluent in English, both written and verbally.
• Knowledge in model development or validation
• Tools: Python, SAS, Microsoft/Oracle SQL, Microsoft Package, Azure DevOps Knowledge of banking market developments and influencing factors, understanding of Anti Money Laundering/Combating Financing of Terrorism regulation.
• Takes on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Makes sense of complex, high quantity information to effectively solve problems.
• Plans and prioritizes work to meet commitments aligned with organizational goals.
• Uses compelling arguments to gain the support and commitment of others.
• Problem-solving skills.
• Emotional Intelligence.

What we offer

• Impactful work in a fun and collaborative environment
• Open-concept offices designed for both teamwork and relaxation
• Corporate events and social gatherings
• Hybrid way of working with flexible working schedule and short week options
• Monthly budget on Benefit platform
• Extra annual leave days depending on the total length of working experience
• Growth opportunities through upskilling/ reskilling programs and a variety of learning and development platforms: ING Learning Centre, Udemy, Bookster, as well as through trainings and certifications
• Possibility to access Internal roles, International Short-Term Assignments or Long-Term Assignments
• Context to make an impact through Sustainability and Corporate Social Responsibility projects.